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  • John Snow Labs
  • Sep 25, 2024

Multilingual bert_base_multilingual_uncased_sentiment_finetuned_meia_analisisdesentimientos_beamandym_pipeline pipeline BertForSequenceClassification from beamandym

  • xx
  • open_source
  • pipeline
  • onnx

Description

Pretrained BertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.bert_base_multilingual_uncased_sentiment_finetuned_meia_analisisdesentimientos_beamandym_pipeline is a Multilingual model originally trained by beamandym.

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How to use


pipeline = PretrainedPipeline("bert_base_multilingual_uncased_sentiment_finetuned_meia_analisisdesentimientos_beamandym_pipeline", lang = "xx")
annotations =  pipeline.transform(df)   



val pipeline = new PretrainedPipeline("bert_base_multilingual_uncased_sentiment_finetuned_meia_analisisdesentimientos_beamandym_pipeline", lang = "xx")
val annotations = pipeline.transform(df)

Model Information

Model Name: bert_base_multilingual_uncased_sentiment_finetuned_meia_analisisdesentimientos_beamandym_pipeline
Type: pipeline
Compatibility: Spark NLP 5.5.0+
License: Open Source
Edition: Official
Language: xx
Size: 627.8 MB

References

https://huggingface.co/beamandym/bert-base-multilingual-uncased-sentiment-finetuned-MeIA-AnalisisDeSentimientos

Included Models

  • DocumentAssembler
  • TokenizerModel
  • BertForSequenceClassification